This skill automates the end-to-end process of converting raw audio into actionable documentation. By leveraging Faster-Whisper and LLM integration, it handles metadata extraction, speaker identification, and content summarization without requiring complex API configurations. It is an essential tool for developers and managers who need to turn meetings, interviews, or lectures into searchable, structured Markdown reports including action items and decisions.
主な機能
01132 GitHub stars
02Rich metadata extraction including speaker diarization and timestamps
03Professional Markdown output with executive summaries and subtitle generation
04Automated meeting minutes generation with topics, decisions, and action items
05Broad format support (MP3, WAV, M4A, FLAC) with automatic ffmpeg conversion
06High-speed transcription using Faster-Whisper or OpenAI Whisper engines
ユースケース
01Converting research interviews or lectures into searchable text for content analysis
02Creating accessible subtitles (SRT/VTT) and summaries for audio-visual media
03Generating structured documentation and task lists from team syncs and stand-ups